add parameter to choose algorithm for tsp calculation and remove redundant code
This commit is contained in:
committed by
Huyen Chau Nguyen
parent
b15f8f68e4
commit
6191b6bee2
+26
-11
@@ -158,9 +158,10 @@ template <class DataFacadeT> class RoundTripPlugin final : public BasePlugin
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return 400;
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}
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//check if locations are in different strongly connected components (SCC)
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const auto maxint = std::numeric_limits<int>::max();
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if (*std::max_element(result_table->begin(), result_table->end()) == maxint) {
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//run TSP computation for every SCC
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std::unique_ptr<BaseDescriptor<DataFacadeT>> descriptor;
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descriptor = osrm::make_unique<JSONDescriptor<DataFacadeT>>(facade);
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descriptor->SetConfig(route_parameters);
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@@ -170,35 +171,49 @@ template <class DataFacadeT> class RoundTripPlugin final : public BasePlugin
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SplitUnaccessibleLocations(phantom_node_vector, *result_table, components);
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auto number_of_locations = phantom_node_vector.size();
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std::vector<int> min_loc_permutation(number_of_locations, -1);
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auto min_dist = 0;
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for(auto k = 0; k < components.size(); ++k) {
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if (components[k].size() > 1) {
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// Compute the TSP with the given algorithm
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InternalRouteResult min_route;
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osrm::tsp::FarthestInsertionTSP(components[k], phantom_node_vector, *result_table, min_route, min_loc_permutation);
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if (route_parameters.tsp_algo == "BF" && route_parameters.coordinates.size() < 14) {
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osrm::tsp::BruteForceTSP(components[k], phantom_node_vector, *result_table, min_route, min_loc_permutation);
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} else if (route_parameters.tsp_algo == "NN") {
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osrm::tsp::NearestNeighbourTSP(components[k], phantom_node_vector, *result_table, min_route, min_loc_permutation);
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} else if (route_parameters.tsp_algo == "FI") {
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osrm::tsp::FarthestInsertionTSP(components[k], phantom_node_vector, *result_table, min_route, min_loc_permutation);
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} else{
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osrm::tsp::FarthestInsertionTSP(components[k], phantom_node_vector, *result_table, min_route, min_loc_permutation);
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}
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search_engine_ptr->shortest_path(min_route.segment_end_coordinates, route_parameters.uturns, min_route);
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min_dist += min_route.shortest_path_length;
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descriptor->Run(min_route, json_result);
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}
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}
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TIMER_STOP(tsp);
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TIMER_STOP(tsp);
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SetRuntimeOutput(TIMER_MSEC(tsp), json_result);
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SetDistanceOutput(min_dist, json_result);
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SetLocPermutationOutput(min_loc_permutation, json_result);
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} else {
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} else { //run TSP computation for all locations
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auto number_of_locations = phantom_node_vector.size();
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InternalRouteResult min_route;
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std::vector<int> min_loc_permutation(number_of_locations, -1);
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//######################## FARTHEST INSERTION ###############################//
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// Compute the TSP with the given algorithm
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TIMER_START(tsp);
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osrm::tsp::FarthestInsertionTSP(phantom_node_vector, *result_table, min_route, min_loc_permutation);
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if (route_parameters.tsp_algo == "BF" && route_parameters.coordinates.size() < 14) {
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osrm::tsp::BruteForceTSP(phantom_node_vector, *result_table, min_route, min_loc_permutation);
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} else if (route_parameters.tsp_algo == "NN") {
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osrm::tsp::NearestNeighbourTSP(phantom_node_vector, *result_table, min_route, min_loc_permutation);
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} else if (route_parameters.tsp_algo == "FI") {
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osrm::tsp::FarthestInsertionTSP(phantom_node_vector, *result_table, min_route, min_loc_permutation);
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} else {
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osrm::tsp::FarthestInsertionTSP(phantom_node_vector, *result_table, min_route, min_loc_permutation);
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}
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search_engine_ptr->shortest_path(min_route.segment_end_coordinates, route_parameters.uturns, min_route);
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TIMER_STOP(tsp);
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// //######################### NEAREST NEIGHBOUR ###############################//
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// TIMER_START(tsp);
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// osrm::tsp::NearestNeighbourTSP(phantom_node_vector, *result_table, min_route, min_loc_permutation);
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// search_engine_ptr->shortest_path(min_route.segment_end_coordinates, route_parameters.uturns, min_route);
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// TIMER_STOP(tsp);
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BOOST_ASSERT(min_route.segment_end_coordinates.size() == route_parameters.coordinates.size());
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SetLocPermutationOutput(min_loc_permutation, json_result);
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SetDistanceOutput(min_route.shortest_path_length, json_result);
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@@ -1,217 +0,0 @@
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/*
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Copyright (c) 2015, Project OSRM contributors
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All rights reserved.
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Redistribution and use in source and binary forms, with or without modification,
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are permitted provided that the following conditions are met:
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Redistributions of source code must retain the above copyright notice, this list
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of conditions and the following disclaimer.
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Redistributions in binary form must reproduce the above copyright notice, this
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list of conditions and the following disclaimer in the documentation and/or
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other materials provided with the distribution.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR
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ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
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ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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#ifndef ROUND_TRIP_BF_HPP
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#define ROUND_TRIP_BF_HPP
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#include "plugin_base.hpp"
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#include "../algorithms/object_encoder.hpp"
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#include "../routing_algorithms/tsp_nearest_neighbour.hpp"
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#include "../routing_algorithms/tsp_farthest_insertion.hpp"
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#include "../routing_algorithms/tsp_brute_force.hpp"
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#include "../data_structures/query_edge.hpp"
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#include "../data_structures/search_engine.hpp"
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#include "../descriptors/descriptor_base.hpp"
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#include "../descriptors/json_descriptor.hpp"
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#include "../util/json_renderer.hpp"
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#include "../util/make_unique.hpp"
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#include "../util/string_util.hpp"
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#include "../util/timing_util.hpp"
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#include "../util/simple_logger.hpp"
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#include <osrm/json_container.hpp>
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#include <cstdlib>
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#include <algorithm>
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#include <memory>
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#include <unordered_map>
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#include <string>
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#include <vector>
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#include <limits>
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template <class DataFacadeT> class RoundTripPluginBF final : public BasePlugin
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{
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private:
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std::string descriptor_string;
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DataFacadeT *facade;
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std::unique_ptr<SearchEngine<DataFacadeT>> search_engine_ptr;
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public:
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explicit RoundTripPluginBF(DataFacadeT *facade)
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: descriptor_string("tripBF"), facade(facade)
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{
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search_engine_ptr = osrm::make_unique<SearchEngine<DataFacadeT>>(facade);
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}
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const std::string GetDescriptor() const override final { return descriptor_string; }
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void GetPhantomNodes(const RouteParameters &route_parameters, PhantomNodeArray & phantom_node_vector) {
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const bool checksum_OK = (route_parameters.check_sum == facade->GetCheckSum());
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// find phantom nodes for all input coords
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for (const auto i : osrm::irange<std::size_t>(0, route_parameters.coordinates.size())) {
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// if client hints are helpful, encode hints
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if (checksum_OK && i < route_parameters.hints.size() &&
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!route_parameters.hints[i].empty()) {
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PhantomNode current_phantom_node;
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ObjectEncoder::DecodeFromBase64(route_parameters.hints[i], current_phantom_node);
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if (current_phantom_node.is_valid(facade->GetNumberOfNodes()))
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{
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phantom_node_vector[i].emplace_back(std::move(current_phantom_node));
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continue;
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}
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}
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facade->IncrementalFindPhantomNodeForCoordinate(route_parameters.coordinates[i],
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phantom_node_vector[i], 1);
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if (phantom_node_vector[i].size() > 1) {
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phantom_node_vector[i].erase(phantom_node_vector[i].begin());
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}
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BOOST_ASSERT(phantom_node_vector[i].front().is_valid(facade->GetNumberOfNodes()));
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}
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}
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void SplitUnaccessibleLocations(PhantomNodeArray & phantom_node_vector,
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std::vector<EdgeWeight> & result_table,
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std::vector<std::vector<unsigned>> & components) {
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// Run TarjanSCC
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auto number_of_locations = phantom_node_vector.size();
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auto wrapper = std::make_shared<MatrixGraphWrapper<EdgeWeight>>(result_table, number_of_locations);
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auto empty_restriction = RestrictionMap(std::vector<TurnRestriction>());
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auto empty_vector = std::vector<bool>();
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auto scc = TarjanSCC<MatrixGraphWrapper<EdgeWeight>>(wrapper, empty_restriction, empty_vector);
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scc.run();
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for (int j = 0; j < scc.get_number_of_components(); ++j){
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components.push_back(std::vector<unsigned>());
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}
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for (int i = 0; i < number_of_locations; ++i) {
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components[scc.get_component_id(i)].push_back(i);
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}
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}
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void SetLocPermutationOutput(const std::vector<int> & loc_permutation, osrm::json::Object & json_result){
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osrm::json::Array json_loc_permutation;
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json_loc_permutation.values.insert(json_loc_permutation.values.end(), loc_permutation.begin(), loc_permutation.end());
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json_result.values["loc_permutation"] = json_loc_permutation;
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}
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void SetDistanceOutput(const int distance, osrm::json::Object & json_result) {
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json_result.values["distance"] = distance;
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}
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void SetRuntimeOutput(const float runtime, osrm::json::Object & json_result) {
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json_result.values["runtime"] = runtime;
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}
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void SetGeometry(const RouteParameters &route_parameters, const InternalRouteResult & min_route, osrm::json::Object & json_result) {
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// return geometry result to json
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std::unique_ptr<BaseDescriptor<DataFacadeT>> descriptor;
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descriptor = osrm::make_unique<JSONDescriptor<DataFacadeT>>(facade);
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descriptor->SetConfig(route_parameters);
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descriptor->Run(min_route, json_result);
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}
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int HandleRequest(const RouteParameters &route_parameters,
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osrm::json::Object &json_result) override final
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{
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// check if all inputs are coordinates
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if (!check_all_coordinates(route_parameters.coordinates)) {
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return 400;
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}
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PhantomNodeArray phantom_node_vector(route_parameters.coordinates.size());
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GetPhantomNodes(route_parameters, phantom_node_vector);
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// compute the distance table of all phantom nodes
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const std::shared_ptr<std::vector<EdgeWeight>> result_table =
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search_engine_ptr->distance_table(phantom_node_vector);
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if (!result_table){
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return 400;
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}
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if (route_parameters.coordinates.size() < 14) {
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const auto maxint = std::numeric_limits<int>::max();
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if (*std::max_element(result_table->begin(), result_table->end()) == maxint) {
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std::unique_ptr<BaseDescriptor<DataFacadeT>> descriptor;
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descriptor = osrm::make_unique<JSONDescriptor<DataFacadeT>>(facade);
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descriptor->SetConfig(route_parameters);
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std::vector<std::vector<unsigned>> components;
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TIMER_START(tsp);
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SplitUnaccessibleLocations(phantom_node_vector, *result_table, components);
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std::vector<int> min_loc_permutation(phantom_node_vector.size(), -1);
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auto min_dist = 0;
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for(auto k = 0; k < components.size(); ++k) {
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if (components[k].size() > 1) {
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InternalRouteResult min_route;
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//run nearest neighbour
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osrm::tsp::BruteForceTSP(components[k], phantom_node_vector, *result_table, min_route, min_loc_permutation);
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//compute route
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search_engine_ptr->shortest_path(min_route.segment_end_coordinates, route_parameters.uturns, min_route);
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//return geometry
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min_dist += min_route.shortest_path_length;
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descriptor->Run(min_route, json_result);
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}
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}
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TIMER_STOP(tsp);
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SetRuntimeOutput(TIMER_MSEC(tsp), json_result);
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SetDistanceOutput(min_dist, json_result);
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SetLocPermutationOutput(min_loc_permutation, json_result);
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} else {
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auto number_of_locations = phantom_node_vector.size();
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InternalRouteResult min_route;
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std::vector<int> min_loc_permutation(number_of_locations, -1);
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//########################### BRUTE FORCE ####################################//
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TIMER_START(tsp);
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osrm::tsp::BruteForceTSP(phantom_node_vector, *result_table, min_route, min_loc_permutation);
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search_engine_ptr->shortest_path(min_route.segment_end_coordinates, route_parameters.uturns, min_route);
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TIMER_STOP(tsp);
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BOOST_ASSERT(min_route.segment_end_coordinates.size() == route_parameters.coordinates.size());
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SetLocPermutationOutput(min_loc_permutation, json_result);
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SetDistanceOutput(min_route.shortest_path_length, json_result);
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SetRuntimeOutput(TIMER_MSEC(tsp), json_result);
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SetGeometry(route_parameters, min_route, json_result);
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}
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} else {
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SetRuntimeOutput(-1, json_result);
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SetDistanceOutput(-1, json_result);
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}
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return 200;
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}
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};
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#endif // ROUND_TRIP_BF_HPP
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@@ -1,207 +0,0 @@
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/*
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Copyright (c) 2015, Project OSRM contributors
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All rights reserved.
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Redistribution and use in source and binary forms, with or without modification,
|
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are permitted provided that the following conditions are met:
|
||||
|
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Redistributions of source code must retain the above copyright notice, this list
|
||||
of conditions and the following disclaimer.
|
||||
Redistributions in binary form must reproduce the above copyright notice, this
|
||||
list of conditions and the following disclaimer in the documentation and/or
|
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other materials provided with the distribution.
|
||||
|
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
|
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ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
|
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WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
|
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DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR
|
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ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
|
||||
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
|
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LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
|
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ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
|
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(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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#ifndef ROUND_TRIP_FI_HPP
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#define ROUND_TRIP_FI_HPP
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#include "plugin_base.hpp"
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#include "../algorithms/object_encoder.hpp"
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#include "../routing_algorithms/tsp_nearest_neighbour.hpp"
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#include "../routing_algorithms/tsp_farthest_insertion.hpp"
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#include "../routing_algorithms/tsp_brute_force.hpp"
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#include "../data_structures/query_edge.hpp"
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#include "../data_structures/search_engine.hpp"
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#include "../descriptors/descriptor_base.hpp"
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#include "../descriptors/json_descriptor.hpp"
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#include "../util/json_renderer.hpp"
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#include "../util/make_unique.hpp"
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#include "../util/string_util.hpp"
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#include "../util/timing_util.hpp"
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#include "../util/simple_logger.hpp"
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#include <osrm/json_container.hpp>
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#include <cstdlib>
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#include <algorithm>
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#include <memory>
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#include <unordered_map>
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#include <string>
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#include <vector>
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#include <limits>
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template <class DataFacadeT> class RoundTripPluginFI final : public BasePlugin
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{
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private:
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std::string descriptor_string;
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DataFacadeT *facade;
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std::unique_ptr<SearchEngine<DataFacadeT>> search_engine_ptr;
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public:
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explicit RoundTripPluginFI(DataFacadeT *facade)
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: descriptor_string("tripFI"), facade(facade)
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{
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search_engine_ptr = osrm::make_unique<SearchEngine<DataFacadeT>>(facade);
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}
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const std::string GetDescriptor() const override final { return descriptor_string; }
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void GetPhantomNodes(const RouteParameters &route_parameters, PhantomNodeArray & phantom_node_vector) {
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const bool checksum_OK = (route_parameters.check_sum == facade->GetCheckSum());
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// find phantom nodes for all input coords
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for (const auto i : osrm::irange<std::size_t>(0, route_parameters.coordinates.size())) {
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// if client hints are helpful, encode hints
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if (checksum_OK && i < route_parameters.hints.size() &&
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!route_parameters.hints[i].empty()) {
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PhantomNode current_phantom_node;
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ObjectEncoder::DecodeFromBase64(route_parameters.hints[i], current_phantom_node);
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if (current_phantom_node.is_valid(facade->GetNumberOfNodes()))
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{
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phantom_node_vector[i].emplace_back(std::move(current_phantom_node));
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continue;
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}
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}
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facade->IncrementalFindPhantomNodeForCoordinate(route_parameters.coordinates[i],
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phantom_node_vector[i], 1);
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if (phantom_node_vector[i].size() > 1) {
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phantom_node_vector[i].erase(phantom_node_vector[i].begin());
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}
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BOOST_ASSERT(phantom_node_vector[i].front().is_valid(facade->GetNumberOfNodes()));
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}
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}
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void SplitUnaccessibleLocations(PhantomNodeArray & phantom_node_vector,
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std::vector<EdgeWeight> & result_table,
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std::vector<std::vector<unsigned>> & components) {
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// Run TarjanSCC
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auto number_of_locations = phantom_node_vector.size();
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auto wrapper = std::make_shared<MatrixGraphWrapper<EdgeWeight>>(result_table, number_of_locations);
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auto empty_restriction = RestrictionMap(std::vector<TurnRestriction>());
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auto empty_vector = std::vector<bool>();
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auto scc = TarjanSCC<MatrixGraphWrapper<EdgeWeight>>(wrapper, empty_restriction, empty_vector);
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scc.run();
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|
||||
for (int j = 0; j < scc.get_number_of_components(); ++j){
|
||||
components.push_back(std::vector<unsigned>());
|
||||
}
|
||||
|
||||
for (int i = 0; i < number_of_locations; ++i) {
|
||||
components[scc.get_component_id(i)].push_back(i);
|
||||
}
|
||||
}
|
||||
|
||||
void SetLocPermutationOutput(const std::vector<int> & loc_permutation, osrm::json::Object & json_result){
|
||||
osrm::json::Array json_loc_permutation;
|
||||
json_loc_permutation.values.insert(json_loc_permutation.values.end(), loc_permutation.begin(), loc_permutation.end());
|
||||
json_result.values["loc_permutation"] = json_loc_permutation;
|
||||
}
|
||||
|
||||
void SetDistanceOutput(const int distance, osrm::json::Object & json_result) {
|
||||
json_result.values["distance"] = distance;
|
||||
}
|
||||
|
||||
void SetRuntimeOutput(const float runtime, osrm::json::Object & json_result) {
|
||||
json_result.values["runtime"] = runtime;
|
||||
}
|
||||
|
||||
void SetGeometry(const RouteParameters &route_parameters, const InternalRouteResult & min_route, osrm::json::Object & json_result) {
|
||||
// return geometry result to json
|
||||
std::unique_ptr<BaseDescriptor<DataFacadeT>> descriptor;
|
||||
descriptor = osrm::make_unique<JSONDescriptor<DataFacadeT>>(facade);
|
||||
|
||||
descriptor->SetConfig(route_parameters);
|
||||
descriptor->Run(min_route, json_result);
|
||||
}
|
||||
|
||||
int HandleRequest(const RouteParameters &route_parameters,
|
||||
osrm::json::Object &json_result) override final
|
||||
{
|
||||
// check if all inputs are coordinates
|
||||
if (!check_all_coordinates(route_parameters.coordinates)) {
|
||||
return 400;
|
||||
}
|
||||
|
||||
PhantomNodeArray phantom_node_vector(route_parameters.coordinates.size());
|
||||
GetPhantomNodes(route_parameters, phantom_node_vector);
|
||||
|
||||
// compute the distance table of all phantom nodes
|
||||
const std::shared_ptr<std::vector<EdgeWeight>> result_table =
|
||||
search_engine_ptr->distance_table(phantom_node_vector);
|
||||
if (!result_table){
|
||||
return 400;
|
||||
}
|
||||
|
||||
const auto maxint = std::numeric_limits<int>::max();
|
||||
if (*std::max_element(result_table->begin(), result_table->end()) == maxint) {
|
||||
std::unique_ptr<BaseDescriptor<DataFacadeT>> descriptor;
|
||||
descriptor = osrm::make_unique<JSONDescriptor<DataFacadeT>>(facade);
|
||||
descriptor->SetConfig(route_parameters);
|
||||
|
||||
std::vector<std::vector<unsigned>> components;
|
||||
TIMER_START(tsp);
|
||||
SplitUnaccessibleLocations(phantom_node_vector, *result_table, components);
|
||||
auto number_of_locations = phantom_node_vector.size();
|
||||
std::vector<int> min_loc_permutation(number_of_locations, -1);
|
||||
auto min_dist = 0;
|
||||
for(auto k = 0; k < components.size(); ++k) {
|
||||
if (components[k].size() > 1) {
|
||||
InternalRouteResult min_route;
|
||||
osrm::tsp::FarthestInsertionTSP(components[k], phantom_node_vector, *result_table, min_route, min_loc_permutation);
|
||||
search_engine_ptr->shortest_path(min_route.segment_end_coordinates, route_parameters.uturns, min_route);
|
||||
min_dist += min_route.shortest_path_length;
|
||||
descriptor->Run(min_route, json_result);
|
||||
}
|
||||
}
|
||||
TIMER_STOP(tsp);
|
||||
|
||||
SetRuntimeOutput(TIMER_MSEC(tsp), json_result);
|
||||
SetDistanceOutput(min_dist, json_result);
|
||||
SetLocPermutationOutput(min_loc_permutation, json_result);
|
||||
} else {
|
||||
auto number_of_locations = phantom_node_vector.size();
|
||||
InternalRouteResult min_route;
|
||||
std::vector<int> min_loc_permutation(number_of_locations, -1);
|
||||
//######################## FARTHEST INSERTION ###############################//
|
||||
TIMER_START(tsp);
|
||||
osrm::tsp::FarthestInsertionTSP(phantom_node_vector, *result_table, min_route, min_loc_permutation);
|
||||
search_engine_ptr->shortest_path(min_route.segment_end_coordinates, route_parameters.uturns, min_route);
|
||||
TIMER_STOP(tsp);
|
||||
|
||||
BOOST_ASSERT(min_route.segment_end_coordinates.size() == route_parameters.coordinates.size());
|
||||
SetLocPermutationOutput(min_loc_permutation, json_result);
|
||||
SetDistanceOutput(min_route.shortest_path_length, json_result);
|
||||
SetRuntimeOutput(TIMER_MSEC(tsp), json_result);
|
||||
SetGeometry(route_parameters, min_route, json_result);
|
||||
}
|
||||
|
||||
return 200;
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
#endif // ROUND_TRIP_FI_HPP
|
||||
@@ -1,211 +0,0 @@
|
||||
/*
|
||||
|
||||
Copyright (c) 2015, Project OSRM contributors
|
||||
All rights reserved.
|
||||
|
||||
Redistribution and use in source and binary forms, with or without modification,
|
||||
are permitted provided that the following conditions are met:
|
||||
|
||||
Redistributions of source code must retain the above copyright notice, this list
|
||||
of conditions and the following disclaimer.
|
||||
Redistributions in binary form must reproduce the above copyright notice, this
|
||||
list of conditions and the following disclaimer in the documentation and/or
|
||||
other materials provided with the distribution.
|
||||
|
||||
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
|
||||
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
|
||||
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
|
||||
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR
|
||||
ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
|
||||
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
|
||||
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
|
||||
ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
|
||||
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
|
||||
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
||||
|
||||
*/
|
||||
|
||||
#ifndef ROUND_TRIP_NN_HPP
|
||||
#define ROUND_TRIP_NN_HPP
|
||||
|
||||
#include "plugin_base.hpp"
|
||||
|
||||
#include "../algorithms/object_encoder.hpp"
|
||||
#include "../routing_algorithms/tsp_nearest_neighbour.hpp"
|
||||
#include "../routing_algorithms/tsp_farthest_insertion.hpp"
|
||||
#include "../routing_algorithms/tsp_brute_force.hpp"
|
||||
#include "../data_structures/query_edge.hpp"
|
||||
#include "../data_structures/search_engine.hpp"
|
||||
#include "../descriptors/descriptor_base.hpp"
|
||||
#include "../descriptors/json_descriptor.hpp"
|
||||
#include "../util/json_renderer.hpp"
|
||||
#include "../util/make_unique.hpp"
|
||||
#include "../util/string_util.hpp"
|
||||
#include "../util/timing_util.hpp"
|
||||
#include "../util/simple_logger.hpp"
|
||||
#include "../tools/tsp_logs.hpp"
|
||||
|
||||
#include <osrm/json_container.hpp>
|
||||
|
||||
#include <cstdlib>
|
||||
#include <algorithm>
|
||||
#include <memory>
|
||||
#include <unordered_map>
|
||||
#include <string>
|
||||
#include <vector>
|
||||
#include <limits>
|
||||
|
||||
template <class DataFacadeT> class RoundTripPluginNN final : public BasePlugin
|
||||
{
|
||||
private:
|
||||
std::string descriptor_string;
|
||||
DataFacadeT *facade;
|
||||
std::unique_ptr<SearchEngine<DataFacadeT>> search_engine_ptr;
|
||||
|
||||
public:
|
||||
explicit RoundTripPluginNN(DataFacadeT *facade)
|
||||
: descriptor_string("tripNN"), facade(facade)
|
||||
{
|
||||
search_engine_ptr = osrm::make_unique<SearchEngine<DataFacadeT>>(facade);
|
||||
}
|
||||
|
||||
const std::string GetDescriptor() const override final { return descriptor_string; }
|
||||
|
||||
void GetPhantomNodes(const RouteParameters &route_parameters, PhantomNodeArray & phantom_node_vector) {
|
||||
const bool checksum_OK = (route_parameters.check_sum == facade->GetCheckSum());
|
||||
|
||||
// find phantom nodes for all input coords
|
||||
for (const auto i : osrm::irange<std::size_t>(0, route_parameters.coordinates.size())) {
|
||||
// if client hints are helpful, encode hints
|
||||
if (checksum_OK && i < route_parameters.hints.size() &&
|
||||
!route_parameters.hints[i].empty()) {
|
||||
PhantomNode current_phantom_node;
|
||||
ObjectEncoder::DecodeFromBase64(route_parameters.hints[i], current_phantom_node);
|
||||
if (current_phantom_node.is_valid(facade->GetNumberOfNodes()))
|
||||
{
|
||||
phantom_node_vector[i].emplace_back(std::move(current_phantom_node));
|
||||
continue;
|
||||
}
|
||||
}
|
||||
facade->IncrementalFindPhantomNodeForCoordinate(route_parameters.coordinates[i],
|
||||
phantom_node_vector[i], 1);
|
||||
if (phantom_node_vector[i].size() > 1) {
|
||||
phantom_node_vector[i].erase(phantom_node_vector[i].begin());
|
||||
}
|
||||
BOOST_ASSERT(phantom_node_vector[i].front().is_valid(facade->GetNumberOfNodes()));
|
||||
}
|
||||
}
|
||||
|
||||
void SplitUnaccessibleLocations(PhantomNodeArray & phantom_node_vector,
|
||||
std::vector<EdgeWeight> & result_table,
|
||||
std::vector<std::vector<unsigned>> & components) {
|
||||
// Run TarjanSCC
|
||||
auto number_of_locations = phantom_node_vector.size();
|
||||
auto wrapper = std::make_shared<MatrixGraphWrapper<EdgeWeight>>(result_table, number_of_locations);
|
||||
auto empty_restriction = RestrictionMap(std::vector<TurnRestriction>());
|
||||
auto empty_vector = std::vector<bool>();
|
||||
auto scc = TarjanSCC<MatrixGraphWrapper<EdgeWeight>>(wrapper, empty_restriction, empty_vector);
|
||||
scc.run();
|
||||
|
||||
for (int j = 0; j < scc.get_number_of_components(); ++j){
|
||||
components.push_back(std::vector<unsigned>());
|
||||
}
|
||||
|
||||
for (int i = 0; i < number_of_locations; ++i) {
|
||||
components[scc.get_component_id(i)].push_back(i);
|
||||
}
|
||||
}
|
||||
|
||||
void SetLocPermutationOutput(const std::vector<int> & loc_permutation, osrm::json::Object & json_result){
|
||||
osrm::json::Array json_loc_permutation;
|
||||
json_loc_permutation.values.insert(json_loc_permutation.values.end(), loc_permutation.begin(), loc_permutation.end());
|
||||
json_result.values["loc_permutation"] = json_loc_permutation;
|
||||
}
|
||||
|
||||
void SetDistanceOutput(const int distance, osrm::json::Object & json_result) {
|
||||
json_result.values["distance"] = distance;
|
||||
}
|
||||
|
||||
void SetRuntimeOutput(const float runtime, osrm::json::Object & json_result) {
|
||||
json_result.values["runtime"] = runtime;
|
||||
}
|
||||
|
||||
void SetGeometry(const RouteParameters &route_parameters, const InternalRouteResult & min_route, osrm::json::Object & json_result) {
|
||||
// return geometry result to json
|
||||
std::unique_ptr<BaseDescriptor<DataFacadeT>> descriptor;
|
||||
descriptor = osrm::make_unique<JSONDescriptor<DataFacadeT>>(facade);
|
||||
|
||||
descriptor->SetConfig(route_parameters);
|
||||
descriptor->Run(min_route, json_result);
|
||||
}
|
||||
|
||||
int HandleRequest(const RouteParameters &route_parameters,
|
||||
osrm::json::Object &json_result) override final
|
||||
{
|
||||
// check if all inputs are coordinates
|
||||
if (!check_all_coordinates(route_parameters.coordinates)) {
|
||||
return 400;
|
||||
}
|
||||
|
||||
PhantomNodeArray phantom_node_vector(route_parameters.coordinates.size());
|
||||
GetPhantomNodes(route_parameters, phantom_node_vector);
|
||||
|
||||
// compute the distance table of all phantom nodes
|
||||
const std::shared_ptr<std::vector<EdgeWeight>> result_table =
|
||||
search_engine_ptr->distance_table(phantom_node_vector);
|
||||
if (!result_table){
|
||||
return 400;
|
||||
}
|
||||
|
||||
|
||||
const auto maxint = std::numeric_limits<int>::max();
|
||||
if (*std::max_element(result_table->begin(), result_table->end()) == maxint) {
|
||||
std::unique_ptr<BaseDescriptor<DataFacadeT>> descriptor;
|
||||
descriptor = osrm::make_unique<JSONDescriptor<DataFacadeT>>(facade);
|
||||
descriptor->SetConfig(route_parameters);
|
||||
|
||||
std::vector<std::vector<unsigned>> components;
|
||||
TIMER_START(tsp);
|
||||
SplitUnaccessibleLocations(phantom_node_vector, *result_table, components);
|
||||
|
||||
std::vector<int> min_loc_permutation(phantom_node_vector.size(), -1);
|
||||
auto min_dist = 0;
|
||||
for(auto k = 0; k < components.size(); ++k) {
|
||||
if (components[k].size() > 1) {
|
||||
InternalRouteResult min_route;
|
||||
//run nearest neighbour
|
||||
osrm::tsp::NearestNeighbourTSP(components[k], phantom_node_vector, *result_table, min_route, min_loc_permutation);
|
||||
//compute route
|
||||
search_engine_ptr->shortest_path(min_route.segment_end_coordinates, route_parameters.uturns, min_route);
|
||||
//return geometry
|
||||
min_dist += min_route.shortest_path_length;
|
||||
descriptor->Run(min_route, json_result);
|
||||
}
|
||||
}
|
||||
TIMER_STOP(tsp);
|
||||
|
||||
SetRuntimeOutput(TIMER_MSEC(tsp), json_result);
|
||||
SetDistanceOutput(min_dist, json_result);
|
||||
SetLocPermutationOutput(min_loc_permutation, json_result);
|
||||
} else {
|
||||
auto number_of_locations = phantom_node_vector.size();
|
||||
InternalRouteResult min_route;
|
||||
std::vector<int> min_loc_permutation(number_of_locations, -1);
|
||||
//######################### NEAREST NEIGHBOUR ###############################//
|
||||
TIMER_START(tsp);
|
||||
osrm::tsp::NearestNeighbourTSP(phantom_node_vector, *result_table, min_route, min_loc_permutation);
|
||||
search_engine_ptr->shortest_path(min_route.segment_end_coordinates, route_parameters.uturns, min_route);
|
||||
TIMER_STOP(tsp);
|
||||
BOOST_ASSERT(min_route.segment_end_coordinates.size() == route_parameters.coordinates.size());
|
||||
SetLocPermutationOutput(min_loc_permutation, json_result);
|
||||
SetDistanceOutput(min_route.shortest_path_length, json_result);
|
||||
SetRuntimeOutput(TIMER_MSEC(tsp), json_result);
|
||||
SetGeometry(route_parameters, min_route, json_result);
|
||||
}
|
||||
|
||||
return 200;
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
#endif // ROUND_TRIP_NN_HPP
|
||||
Reference in New Issue
Block a user